Wavelet Transform Aided Single-Carrier FDMA With Index Modulation by Zhou Lu, Mohammed El-Hajjar, Lie-Liang Yang

“…Correspondingly, we propose different detection schemes, including Maximum Likelihood Detection (MLD), Simplified Maximum Likelihood Detection (SMLD), and the Two Stage Index-QAM Detection (TSD). …”
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Hybrid FFT-ARMA-Burg Modeling and LSTM-Enhanced BBO Optimization for Fault Diagnosis in Induction Motors by Khadidja Boudraa, Mohammed Assam Ouali, Mohamed Ladjal

“… Induction motors (IM) are crucial in industrial systems, and fault diagnosis reliably and effectively is of importance for maintaining efficiency. The detection of a broken rotor bar(RBB) is one of the most challenging tasks in condition monitoring due to the complexity of fault features in motor current signals. …”
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Biotransformation of Acetaminophen by <i>Ganoderma parvulum</i> Ligninolytic Enzymes Immobilized on Chitosan Microspheres by María Alejandra Flórez-Restrepo, Xiomara López-Legarda, Magdalena de Jesús Rostro-Alanis, Roberto Parra-Saldívar, Freimar Segura-Sánchez

“…Among these, acetaminophen (paracetamol) is one of the most frequently detected pharmaceutical pollutants in aquatic environments. …”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“…Quantization enables complex predictive models to run on low-cost, energy-efficient devices, thereby democratizing advanced prediction technologies for critical applications like solar energy generation. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Results The study area exhibits complex geochemical features. In such a complex setting, it is essential to implement multiple methods in combination to separate anomalies from the background accurately. …”
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Evaluating the effects of urban development on the ecological carrying capacity of Isfahan city based on the system dynamics approach by Zahra Dehghan Manshadi, Parastoo Parivar

“…In order to validate the model, the historical trend and simulation of two variables of urban population and the number of industries have been compared using the coefficient of determination.Results and discussion: The pressure factors on the urban carrying capacity were detected and analyzed by assessing key variables in the system, such as water sustainability (WSI) and air quality, as well as changes in the landscape structure of Isfahan using landscape metrics. …”
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Nosological and Age and Gender Profile of the Vologda Oblast Population Mortality and the Associated Demographic Losses by A. V. Korolenko

“…The choice of the analyzed period is not accidental: if in 2015 the region was characterized by the most positive indicators of natural population movement (the total coefficient of natural loss since the beginning of the 2000s reached a minimum of -1.1 per mille), then by 2019 the situation changed dramatically — the indicator of natural loss increased and amounted to - 4.5 per mille.Materials and methods. …”
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Deep Learning-Based Fault Diagnosis via Multisensor-Aware Data for Incipient Inter-Turn Short Circuits (ITSC) in Wind Turbine Generators by Qinglong Wang, Shihao Cui, Entuo Li, Jianhua Du, Na Li, Jie Sun

“…These faults can cause fluctuations in the output voltage, frequency, and power of wind turbines, eventually leading to overheating, equipment damage, and rising maintenance costs if not detected early. Although significant progress has been made in condition monitoring, the current methods still fall short of the robustness required for early fault diagnosis in complex operational settings. …”
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Modulation of fibroblast behavior by Leishmania: a pathway to understanding disease progression in cutaneous leishmaniasis by Tarcisio Navegante de Queiroz Filho, Brenda Furtado Costa, Ana Paula Drummond Rodrigues

“…Interestingly, both the promastigote and amastigote forms of the parasite have also been detected in fibroblasts, revealing the complex interactions during the infection. …”
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Malarial pigment-induced lipoperoxidation, inhibited motility and decreased CCR2 and TNFR1/2 expression on human monocytes by Oleksii Skorokhod, Valentina Barrera, Elena Valente, Daniela Ulliers, Koji Uchida, Evelin Schwarzer

“…Objective: Malaria remains an important life-threatening disease that provokes a complex immune response, marked by an initial immune boost followed by long-term suppression, warranting further study. …”
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Quantifying Evapotranspiration and Environmental Factors in the Abandoned Saline Farmland Using Landsat Archives by Liya Zhao, Jingwei Wu, Qi Yang, Hang Zhao, Jun Mao, Ziyang Yu, Yanqi Liu, Anne Gobin

“…This study investigates the complex interaction of biophysical and meteorological factors that drive evapotranspiration (ET) in saline environments. …”
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An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

“…Workpiece surface quality is a critical metric for assessing machining quality. However, due to the complex coupling characteristics of cutting factors, accurately predicting surface roughness remains challenging. …”
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Overall architecture design of row/column scanning silicon-based focal plane switch array LiDAR transmitter system by Yu Wang, Yue Wang, Zeyang Zhang, Hang Cheng, Yuanhui Li, Guohui Yang, Kuang Zhang, Chunhui Wang

“…This architecture allows each optical path to control multiple grating couplers for simultaneous transmission, integrating both time-domain and spatial detection to enhance system detection efficiency and accuracy. …”
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Chemical analysis using miniaturized and Portable 3D printed systems: Where are we now? by Miryam Perrucci, Imran Ali, Fotouh R. Mansour, Halil I. Ulusoy, Songül Ulusoy, Abuzar Kabir, Ornella Abollino, Agnese Giacomino, Paolo Inaudi, Marcello Locatelli, Erika Maria Ricci

“…Interest in miniaturized systems is further fueled by the theoretical principle that reducing flow rates enhances the surface-to-volume ratio, thereby improving detection sensitivity.Building on this theoretical foundation—particularly the goals of portability, efficient sampling, and on site analysis—innovative approaches such as microfluidics and 3D printing have been employed to develop compact fluidic systems. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Results Participants reported notable gains in diagnostic efficiency and resource allocation, underscoring AI’s potential to reduce turnaround times for routine tests and enhance detection of abnormalities. …”
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An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning by Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang

“…This model was designed to enhance anesthesia management efficiency and disease detection rates. In collaboration with the Department of Anesthesiology at Renji Hospital, which is affiliated with the Shanghai Jiao Tong University School of Medicine, data pertaining to anesthesia were collected from 398 patients, who were undergoing gastrointestinal endoscopy. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Submodule capacitor aging poses significant challenges to the safe operation of modular multilevel converter (MMC) systems. Traditional detection methods rely predominantly on offline tests, lacking real-time evaluation capabilities. …”
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Direct and bisulfite-free 5-methylcytosine and 5-hydroxymethylcytosine sequencing at single-cell resolution with scTAPS and scCAPS +  by Xiufei Chen, Jingfei Cheng, Linzhen Kong, Xiao Shu, Haiqi Xu, Masato Inoue, Marion Silvana Fernández-Berrocal, Dagny Sanden Døskeland, Magnar Bjørås, Shivan Sivakumar, Yibin Liu, Jing Ye, Chun-Xiao Song

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Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…Key challenges include spectral distortions from high-frequency spatial data, high computational complexity, and limited training data, particularly for new-generation sensors with unique noise patterns. …”
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Experimental Demonstration of Superconducting Series Nanowire Photon-Number-Resolving Detector at 660 nm Wavelength by Ruiying Xu, Xu Tao, Qi Chen, Xiang Li, Guanghao Zhu, Lin Kang, Labao Zhang, Xiaoqing Jia, Xuecou Tu, Qingyuan Zhao, Biaobing Jin, Weiwei Xu, Jian Chen, Peiheng Wu

“…The results of our 6-element PNR device show clear evidence of <italic>n</italic>-photons differentiation with <italic>n</italic> ranging from 1 to 6. The system detection efficiency reaches 54&#x0025; with the dark counts rate below 10&#x00A0;Hz at 660&#x00A0;nm. …”
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